When first records of incidence are unavailable, tries to impute censored cases to rebuild longer epidemic vector
censored.deviation(optim.vect,
epid, R0, GT)
The deviation between sum((E(Nt)-Nt)^2)
Vector of two elements (multiplicative factor, log(highest imputed data) correspondig to initial values
Original epidemic vector, output of check.incid()
Assumed R0
value for the original epidemic vector
Generation time distribution to be used for computations
Pierre-Yves Boelle, Thomas Obadia
For internal use. Called by impute.incid
.
This function is not intended for stand-alone use. It computes the difference between theoretical incidence and observed epidemics, for a given vector of initial values. To find the find best-fitting incidence values, this same vector must be optimized, to minimize the value returned by SCE